Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

2,397 searchable experts 4,280 tracked across all sources
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Showing signals surfaced by Gus ×

The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Developing AI research Research 2d ago
LLMs read write neural network weights

Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights

16 experts across 6 network communities independently surfaced this.

16 experts 6 communities 1 sources clustered
How the network is reacting 7 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

7 experts

Evidence, methods and technical implications.

“This is fascinating. Very large models can read the weights of small models and intuit what those models were trained to do, and make direct weight changes to improve them. rikiyat.github.io/blog/weight-...”

4 experts discussed this · 5 posts
Ethan Mollick: If this holds up, it is big: "We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x …
Antonino Greco: If this holds up, it is big: "We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x …
Thomas Dietterich: Can someone provide a plausible mechanism for this? Has GPT-6 Astra been trained on neural network weight (or activation) interpretation?
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Developing Culture, work & education Research 1d ago
⚡ 191 h early
VLMs visual meaning recursion paper

A Heart Means Recursion: Exploring Visual Meaning and Communication in VLMs

3 experts across 3 network communities independently surfaced this.

3 experts 3 communities 1 sources clustered

“Dropping a simple colored icon into a VLM's context can flip its coding strategy to 100% recursive—even when 71.5% of its thinking traces claim it's ignoring the image 👀 Wild study from Google DeepMind & Stanford on implicit visual steering: https://arxiv.o…”

“Research indicates vision-language models convey concepts with visuals but misalign with human interpretations. Simple images like hearts can greatly influence model behavior on unrelated tasks, revealing challenges in understanding AI's visual communicatio…”

Developing Models & releases Resource 2d ago
⚡ 187 h early
Google LiteRT-LM on-device AI release

LiteRT-LM Overview  |  Google AI Edge  |  Google for Developers

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“Access the updated Gemma 4 12B file: https://t.co/N8QOgLNc5C Quickly try Gemma using LiteRT-LM CLI: https://t.co/E4e6Quyu9D Learn more about building with LiteRT-LM: https://t.co/dmBCWFdbEB”

“🤖💎 Reachy on Wheels runs a 100% local, battery-powered robotics loop on LiteRT: Gemma 4 E4B handles voice chat + start/stop tool calls, while EmbeddingGemma 2 steers on an Arduino Ventuno Q from live camera input with zero cloud calls! https://developers.go…”

2 experts discussed this · 4 posts
Gus: 🤖💎 Reachy on Wheels runs a 100% local, battery-powered robotics loop on LiteRT: Gemma 4 E4B handles voice chat + start/stop tool calls, while EmbeddingGemma 2 steers on an Arduino Ventuno Q from li…
Evangelos Kazakos: 🤖💎 Reachy on Wheels runs a 100% local, battery-powered robotics loop on LiteRT: Gemma 4 E4B handles voice chat + start/stop tool calls, while EmbeddingGemma 2 steers on an Arduino Ventuno Q from li…
Michiel Bontenbal: Love it. I have used a lot of embedding models but did not see that it can be used for steering. :-)
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Established AI research Development 4d ago
⚡ 13 h early
Google Project Suncatcher space compute

Meet Project Suncatcher, a research moonshot to scale machine learning compute in space.

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“Gemma 4 is running in Low Earth Orbit! 💎🛰️ Project Suncatcher ran the first ML inference on data-center TPUs in space: 4 TPUs in a ~1 kW solar envelope running Gemma 4 onboard and beaming a haiku to Earth: https://blog.google/innovation-and-ai/technology/re…”

Established Models & releases Release 19d ago
Google Gemma 4 open models release

Google Gemma 4 Open Models - Gemma Documentation

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“We launched a new home for Gemma developer docs at https://gemma.ai 📚💎 Includes a global model selector that adapts code snippets across sizes, one-click Markdown export on every page for local coding agents, and live on-device WebGPU demos in the browser.”

Established AI field signal Signal 16d ago

Muse glimmer methodology

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“🔍💎 Really neat agentic vision recipe from Meta's Muse Glimmer writeup! Instead of 1-shot GUI grounding on ScreenSpot-Pro, their 10-turn loop crops, zooms & overlays a grid. Running Gemma 4 31B through it hits 75.9% out of the box! https://research.meta.ai/s…”

Established Compute & infrastructure Signal 4d ago

Exploring a space-based, scalable AI infrastructure system design

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Launched Oct 1 with Planet Labs, the satellite took a prompt over Svalbard, ran Gemma 4 in orbit, and downlinked the response ahead of radiation and 2027 optical-cluster tests. System design: https://research.google/blog/exploring-a-space-based-scalable-ai-…”

Established AI field signal Resource 13d ago
QUAN-Transcribe-1.0 HuggingFace release

qnguyen3/QUAN-Transcribe-1.0 · Hugging Face

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“🔍🛠️ QUAN-Transcribe fine-tunes the top 2 USM conformer layers of EmbeddingGemma 2 with CTC in a single forward pass (~3,700x faster than real-time on H100), supporting batch and 0.48s streaming. Model weights: https://huggingface.co/qnguyen3/QUAN-Transcribe…”

Established NLP & language Resource 13d ago

GitHub - qnguyen3/QUAN-Transcribe: Inference code for QUAN-Transcribe: fast Vietnamese speech recognition on EmbeddingGemma 2

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“🎙️💎 Wild what you can do with multimodal embeddings: with 3h of fine-tuning on 3,000h of Vietnamese audio, Quan Nguyen (qnguyen3) used EmbeddingGemma 2 to top 8 Vietnamese ASR benchmarks with zero autoregressive decoder! https://github.com/qnguyen3/QUAN-Tra…”

Established AI field signal Resource 16d ago
Bluesky image search tool launched

Bluesky Image Search

2 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered

“Ok - the fruits of my latest vibe AI engineering are ready: An all in-browser vector index (<4MB) + custom 4-layer EG2-compatible query embedder (~25MB) + custom WGSL runtime (KBs) of 16,878 Bluesky images, weighing in at a combined < 30MB INSTANT search as…”

2 experts discussed this · 6 posts
austegard.com: FInal writeup: github.com/oaustegard/o...
austegard.com: We COULD (and briefly did) use the standard (and generally excellent) onnxruntime-web to run the loaded query model, but why not go for broke with a custom WGSL runner? Results: github.com/oaustega…
austegard.com: The (relatively) hard part: Tearing EG2 apart and trying to minimize the size without losing too much accuracy in the process. Ended up with a 4-layer text-only version of the model distilled with …
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Established Models & releases Release 14d ago
SEA-LION Guard v2 model release

aisingapore/Gemma-SEA-LION-Guard-v2-31B · Hugging Face

1 directory member surfaced this signal.

1 expert 1 community 2 sources clustered

“🔍🛠️ Pairing a compact E2B or E4B watchdog locally alongside your main coding or workflow agent is a clean pattern to validate tool arguments before execution. Weights on Hugging Face: https://huggingface.co/aisingapore/Gemma-SEA-LION-Guard-v2-31B”

Established AI research Resource 20d ago
runntime web neural network engine release

GitHub - software-mansion/runntime: High-performance neural networks engine for web, built on top of TypeGPU

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Neat browser-native build by Jakub Chmura at Software Mansion! 🖼️🔍⚡ They ported EmbeddingGemma 2 to ruNNtime (TypeScript WebGPU engine on TypeGPU) to search a local photo gallery in natural language 100% on the browser GPU. Repo: https://github.com/software…”

Established Models & releases Resource 15d ago
vLLM project pull requests activity

Pull requests · vllm-project/vllm

2 experts are actively discussing the implications.

1 expert 1 community 2 sources clustered

“👀💎 A Google engineer paired with Gemini 4 Argon in an iterative profiling and kernel-optimization loop to pinpoint the exact vLLM scheduling bottlenecks and land all 8 upstream PRs in days. Full PR list on GitHub: https://goo.gle/4zNtANl”

2 experts discussed this · 5 posts
Gus: 🚀🛠️ Huge vLLM throughput jump on Gemma 4 E2B: 2.85x faster on a single A100, climbing from ~37,900 to 108,000+ tok/s with 100% token parity and zero quality drop! Landed across 8 upstream PRs in da…
Gus: 👀💎 A Google engineer paired with Gemini 4 Argon in an iterative profiling and kernel-optimization loop to pinpoint the exact vLLM scheduling bottlenecks and land all 8 upstream PRs in days. Full PR…
spacecowboy17.bsky.social: Is there a way to tell how much more room is left for optimization with zero quality tradeoffs and not counting speculative decoding? Is the theoretical limit how long it takes to feed network weig…
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Established AI field signal Signal 17d ago

AGI House

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“🛠️💎 Bay Area builders: join our 100% on-device Gemma Hardware Hackathon at AGI House this Sat, Oct 24 with NVIDIA! 🤖 Hands-on with 15 Jetson Thor & 15 Orin Nano Super dev kits to build local edge AI & robotics with zero cloud: https://www.agihouse.org/event…”

What experts are discussing without an anchoring article

3 experts · 10 posts · 19d ago
Gus: I replied to a Gemma user asking what they would like to see in future Gemma models, and somehow this became my most popular post ever! With great insights and requests. Thanks everyone! 🤩🙏🏼 I trie…
Nafnlaus 🇮🇸 🇺🇦: Something dense in the ~8-9B range would be great. The best thing out there right now is Qwen 3.5 9B, which is several generations old. Builtin speculative decoding would be great :)
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2 experts · 7 posts · 9d ago
Tim Kellogg: yes, its a qwen fine tune. yes, LLMs and dLLMs are both language models, so there’s no reason you can’t cutover from LLM->dLLM
Tim Kellogg: which is quite a thing to grapple with if you’re in the “it’s just predicting the next token” camp if you can just switch it over to generating all tokens at once, doesn’t that demonstrate a deeper…
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